Identification of most influential factors in a Virtual Reality tracking system using hybrid method

International audienceThis paper studies the factors that influence the accuracy of Virtual Reality (VR) systems, in particular for applications in a CaveAutomatic Virtual Environment (CAVE). The CAVE can be used to train surgeon students. For this purpose, an application for a totalknee arthroplasty surgery is investigated. To meet the requirements for a high quality training, the accuracy of the tracking system inthe CAVE has to be improved. First, a complete model of the tracking system is created based on the extrinsic and intrinsic parametersof the eight-camera system. With this model, the uncertainty of the tracking system is determined for one location in the CAVE. Next,a hybrid method, comprising the Monte Carlo Method and Design Of Experiment, is used to find the most important factorsinfluencing the tracking accuracy in the CAVE